Triple

T6201412
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Rostock E138640 entity
Predicate contains P35 FINISHED
Object Teterow
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
E580917 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Teterow | Statement: [Bezirk Rostock, contains, Teterow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teterow
Context triple: [Bezirk Rostock, contains, Teterow]
  • A. Wandlitz
    Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
  • B. Havelberg
    Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
  • C. Fürstenwalde
    Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
  • D. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • E. Angermünde
    Angermünde is a historic small town in northeastern Germany’s Brandenburg state, known for its medieval architecture and location within the rural Uckermark region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teterow
Triple: [Bezirk Rostock, contains, Teterow]
Generated description
Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teterow
Target entity description: Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
  • A. Wandlitz
    Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
  • B. Havelberg
    Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
  • C. Fürstenwalde
    Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
  • D. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • E. Angermünde
    Angermünde is a historic small town in northeastern Germany’s Brandenburg state, known for its medieval architecture and location within the rural Uckermark region.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062559bcc81908942bb4d25fe8158 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243da922c819080d8d37adbb5635e completed March 24, 2026, 7:57 a.m.
NEDg Description generation batch_69c4fb66b8e8819090524d1ef12688a7 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc3065bc81908d95fbd3d4655c76 completed March 26, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:20 p.m.